• Laser & Optoelectronics Progress
  • Vol. 53, Issue 2, 21201 (2016)
Weng Jinping*, Cheng Xiaosheng, Cui Haihua, Yang Liu, and Fan Jingli
Author Affiliations
  • [in Chinese]
  • show less
    DOI: 10.3788/lop53.021201 Cite this Article Set citation alerts
    Weng Jinping, Cheng Xiaosheng, Cui Haihua, Yang Liu, Fan Jingli. A Robust Matching Algorithm for Real-Time 3D Measurement Based on Spatial Marked Points[J]. Laser & Optoelectronics Progress, 2016, 53(2): 21201 Copy Citation Text show less
    References

    [1] Shao Jie, Zhang Aiwu, Wang Shumin, et al.. Research on fusion of 3D laser point clouds and ccdimage[J]. Chinese J Lasers, 2013, 40(5): 0514001.

    [2] Yan Jingjie, Yang Qinghua, Song Yupeng, et al.. The study of reconstruction auricle long-term changes by 3D laser scan technology[J]. Chinese Journal of Otology, 2013, 11(4): 524-528.

    [3] Zhao Jing, Wang Yongchang, Liu Kai. New method of restraining the saturated error in phase measuring profilometry[J]. Chinese J Lasers, 2013, 40(10): 1008001.

    [4] Takeda Mitsuo, Mutoh Kazuhiro. Fourier transformprofilometry for the automatic measurement of 3-D object shapes[J]. Appl Opt, 1983, 22(24): 3977-3982.

    [5] Li Yunpeng, Tian Qingguo, Zhang Xiangyu, et al.. Multi-sensor synchronous calibration method for line laser human-body 3D scanner[J]. Chinese J Lasers, 2013, 40(10): 1008006.

    [6] Tang Minghui, Cheng Xiaosheng, Cui Haihua, et al.. A high stability mapping stitching method for structured light three dimensional measurement[J]. Acta Optica Sinica, 2014, 34(11): 1112006.

    [7] Wu Mengqi,Li Zhongwei,Zhong Kai, et al.. Adaptive point cloud registration method based on geometric features and photometric features[J]. Acta Optica Sinica, 2015, 35(2): 0215002.

    [8] Liang Yunbo, Deng Wenyi, Lou Xiaoping, et al.. Automatic registration method of multi-view 3D data based on marked points [J]. Beijing Information Science and Technology University, 2010, (1): 30-33.

    [9] Zhu Jigui, Guo Lei, Ye Shenghua. Principle and implementationmethod of three-dimensional precision positioning in large field working space[J]. Acta Optica Sinica, 2009, 29(7): 1872-1876.

    [10] Gen Yun, Sun Junhua, Liu Qianzhe, et al.. 3D matching of marked points for free-form surface vision measurement[J]. measurement & Control Technology, 2011, 30(7): 105-109.

    [11] Okutomi M, Kanade T. A stereo matching algorithm with an adaptive window: theory and experiment[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 1994, 16(9): 920-932.

    [12] Zhang Z, Deriche R, Faugeras O, et al.. A robust technique for matching two uncalibrated images through the recovery of the unknown epipolargeometry[J]. Artificial Intelligence, 1994, 78(12): 87-119.

    [13] Zhang Z. A flexible new technique for camera calibration[J]. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2000, 22(11): 1330-1334.

    [14] Weiliang L U, Jiang K, Lin J. Multi-view 3D data registration based on global control codeless points[J]. Opto-Electronic Engineering, 2014.

    [15] Xie Guanghui, Sun Junhua, Yang Zhen, et al.. 3D data registration method for vision measurement[J]. Beijing University of Aeronautics and Astronautics, 2009, 35(7): 877-881.

    [16] Scharstein D, R Szeliski. A taxonomy and evaluation of dense two frame stereo correspondence algorithms[J]. International Journal of Computer Vision, 2002, 47(1-3): 7-42.

    [17] Zhang Hui. Research on the Key Techniques and System of Binocular Stereo Measurement Based on Random Illumination [D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2008.

    Weng Jinping, Cheng Xiaosheng, Cui Haihua, Yang Liu, Fan Jingli. A Robust Matching Algorithm for Real-Time 3D Measurement Based on Spatial Marked Points[J]. Laser & Optoelectronics Progress, 2016, 53(2): 21201
    Download Citation